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Antonio González Muñoz
Antonio González 0005
Person information
- affiliation: University of Granada, Department of Computer Science and Artificial Ingelligence, Spain
Other persons with the same name
- Antonio González — disambiguation page
- Antonio González 0001
— Polytechnic University of Catalonia (UPC), Department of Computer Architecture (and 1 more)
- Antonio González 0002 — University College London
- Antonio González 0003 — Adasa Sistemas S.A.U., Barcelona, Spain
- Antonio González 0004
- Antonio González 0006
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2020 – today
- 2024
- [j43]Leonardo Jara
QChi: A Faster Classification Algorithm Based on Wang-Mendel Algorithm. IEEE Trans. Fuzzy Syst. 32(4): 2261-2271 (2024) - 2022
- [j42]Leonardo Jara
Efficient inference models for classification problems with a high number of fuzzy rules. Appl. Soft Comput. 115: 108164 (2022) - [j41]Juan Carlos Gámez-Granados
Automating the decision making process of Todd's age estimation method from the pubic symphysis with explainable machine learning. Inf. Sci. 612: 514-535 (2022) - [c29]Leonardo Jara, Antonio González, Raúl Pérez:
A new multi-rules approach to improve the performance of the Chi fuzzy rule classification algorithm. FUZZ-IEEE 2022: 1-6 - 2020
- [c28]Leonardo Jara
A preliminary study to apply the Quine McCluskey algorithm for fuzzy rule base minimization. FUZZ-IEEE 2020: 1-6
2010 – 2019
- 2019
- [j40]Juan Carlos Gámez
An approximation to solve regression problems with a genetic fuzzy rule ordinal algorithm. Appl. Soft Comput. 78: 13-28 (2019) - [j39]Antonio González
An Incremental Approach to Address Big Data Classification Problems Using Cognitive Models. Cogn. Comput. 11(3): 347-366 (2019) - [c27]Juan Carlos Gámez-Granados, José Manuel Soto-Hidalgo, Giovanni Acampora
A software implementation of the fuzzy rule learning algorithm NSLVOrd for ordinal classification into KEEL. FUZZ-IEEE 2019: 1-6 - [c26]Antonio González
Reasoning Methods in Fuzzy Rule-based Classification Systems for Big Data Problems. IoTBDS 2019: 255-261 - 2018
- [e1]Francisco Herrera, Sergio Damas, Rosana Montes, Sergio Alonso, Oscar Cordón, Antonio González, Alicia Troncoso:
Advances in Artificial Intelligence - 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Granada, Spain, October 23-26, 2018, Proceedings. Lecture Notes in Computer Science 11160, Springer 2018, ISBN 978-3-030-00373-9 [contents] - 2017
- [c25]Rocío Romero-Záliz
Incremental fuzzy learning algorithms in big data problems: A study on the size of learning subsets. FUZZ-IEEE 2017: 1-6 - 2016
- [j38]Juan Carlos Gámez
Ordinal classification based on the sequential covering strategy. Int. J. Approx. Reason. 76: 96-110 (2016) - [c24]Juan Carlos Gámez
On the use of an incremental approach to learn fuzzy classification rules for big data problems. FUZZ-IEEE 2016: 1413-1420 - [c23]Nikolaos L. Tsakiridis
Extensions of the DECO3R algorithm for generating compact and cooperating Fuzzy Rule-based Classification Systems. FUZZ-IEEE 2016: 1429-1436 - 2015
- [j37]David García, Juan Carlos Gámez
An interpretability improvement for fuzzy rule bases obtained by the iterative rule learning approach. Int. J. Approx. Reason. 67: 37-58 (2015) - [j36]Enrique Leyva, Antonio González Muñoz
Three new instance selection methods based on local sets: A comparative study with several approaches from a bi-objective perspective. Pattern Recognit. 48(4): 1523-1537 (2015) - [j35]Enrique Leyva, Antonio González Muñoz
A Set of Complexity Measures Designed for Applying Meta-Learning to Instance Selection. IEEE Trans. Knowl. Data Eng. 27(2): 354-367 (2015) - [c22]David García, Dimitris G. Stavrakoudis, Antonio González Muñoz, Raúl Pérez, John B. Theocharis:
A Fuzzy Rule-Based Feature Construction Approach Applied to Remotely Sensed Imagery. IFSA-EUSFLAT 2015 - [c21]David García, Juan Carlos Gámez, Antonio González Muñoz
Using a sequential covering strategy for discovering fuzzy rules incrementally. FUZZ-IEEE 2015: 1-8 - 2014
- [j34]David García, Antonio González Muñoz
Overview of the SLAVE learning algorithm: A review of its evolution and prospects. Int. J. Comput. Intell. Syst. 7(6): 1194-1221 (2014) - [j33]Enrique Leyva, Yoel Caises, Antonio González Muñoz
On the use of meta-learning for instance selection: An architecture and an experimental study. Inf. Sci. 266: 16-30 (2014) - [j32]David García, Antonio González Muñoz
A feature construction approach for genetic iterative rule learning algorithm. J. Comput. Syst. Sci. 80(1): 101-117 (2014) - 2013
- [j31]Enrique Leyva, Antonio González Muñoz
Knowledge-based instance selection: A compromise between efficiency and versatility. Knowl. Based Syst. 47: 65-76 (2013) - [c20]Enrique Leyva, Antonio González Muñoz
A Genetic Tuned Fuzzy Classifier Based on Prototypes. EUSFLAT Conf. 2013 - [c19]David García, Antonio González Muñoz
A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm. FUZZ-IEEE 2013: 1-7 - [c18]David García, Antonio González Muñoz
An empirical study about the behavior of a genetic learning algorithm on searching spaces pruned by a completeness condition. GEFS 2013: 8-15 - 2012
- [j30]Antonio González Muñoz
An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules. Int. J. Comput. Intell. Syst. 5(2): 212-230 (2012) - 2011
- [j29]Yoel Caises, Antonio González Muñoz
Combining instance selection methods based on data characterization: An approach to increase their effectiveness. Inf. Sci. 181(20): 4780-4798 (2011) - [c17]David García, Antonio González Muñoz
A two-step approach of feature construction for a genetic learning algorithm. FUZZ-IEEE 2011: 1255-1262 - [c16]David García, Antonio González Muñoz
An iterative strategy for feature construction on a fuzzy rule-based learning algorithm. ISDA 2011: 1235-1240 - 2010
- [c15]Luis A. Castillo, Juan Fernández-Olivares, Antonio González Muñoz, Gonzalo Milla, David Prior, Lluvia Morales, José Figueroa, Víctor Pérez-Villar:
A Knowledge Engineering Methodology for Rapid Prototyping of Planning Applications. FLAIRS 2010 - [c14]Yoel Caises, Enrique Leyva, Antonio González Muñoz
A genetic learning of fuzzy relational rules. FUZZ-IEEE 2010: 1-8 - [c13]Yoel Caises, Enrique Leyva, Antonio González Muñoz
An extension of the Genetic Iterative Approach for learning rule subsets. GEFS 2010: 63-67
2000 – 2009
- 2009
- [c12]Yoel Caises, Antonio González Muñoz
SCIS: Combining Instance Selection Methods to Increase Their Effectiveness over a Wide Range of Domains. IDEAL 2009: 17-24 - 2008
- [j28]Rafael Muñoz-Salinas
A multiple object tracking approach that combines colour and depth information using a confidence measure. Pattern Recognit. Lett. 29(10): 1504-1514 (2008) - 2007
- [j27]Marc de la Asunción
Handling fuzzy temporal constraints in a planning environment. Ann. Oper. Res. 155(1): 391-415 (2007) - [c11]Antonio González Muñoz
Qualification of Fuzzy Statements Under Fuzzy Certainty. IFSA (1) 2007: 162-170 - 2006
- [c10]Rafael Muñoz-Salinas, Eugenio Aguirre, Miguel García-Silvente, Antonio González Muñoz:
Un Sistema Visual Difuso para la Detección de Interés en la Interacción Robot-Persona. Workshop de Agentes Físicos 2006: 49-56 - 2005
- [j26]Marc de la Asunción, Luis A. Castillo, Juan Fernández-Olivares, Óscar García-Pérez, Antonio González Muñoz, Francisco Palao:
SIADEX: An interactive knowledge-based planner for decision support in forest fire fighting. AI Commun. 18(4): 257-268 (2005) - [j25]Rafael Alcalá
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems. Eng. Appl. Artif. Intell. 18(3): 279-296 (2005) - [c9]Rafael Muñoz-Salinas, Eugenio Aguirre
People Detection and Tracking Through Stereo Vision for Human-Robot Interaction. MICAI 2005: 337-346 - 2004
- [j24]Eugenio Aguirre
A fuzzy perceptual model for map building and navigation of mobile robots. Integr. Comput. Aided Eng. 11(3): 239-258 (2004) - 2003
- [j23]Eugenio Aguirre
A Fuzzy Perceptual Model for Ultrasound Sensors Applied to Intelligent Navigation of Mobile Robots. Appl. Intell. 19(3): 171-187 (2003) - [c8]Brian Carse, Anthony G. Pipe, Ingo Renners, Adolf Grauel, Antonio Fernandez Gómez-Skarmeta, Fernando Jiménez, Gracia Sánchez, Oscar Cordón, Francisco Herrera, Fernando A. C. Gomide, Igor Walter, Antonio González Muñoz, Raúl Pérez:
Current issues and future directions in evolutionary fuzzy systems research. EUSFLAT Conf. 2003: 81-87 - [c7]Eugenio Aguirre, Antonio González Muñoz, Raúl Pérez:
An inductive approach for learning fuzzy relation rules. EUSFLAT Conf. 2003: 88-93 - [c6]Luis A. Castillo, Juan Fernández-Olivares
Some Issues about the Representation and Exploitation of Imprecise Temporal Knowledge for an AI Planner. KES 2003: 1321-1328 - 2002
- [j22]Eugenio Aguirre
Integrating fuzzy topological maps and fuzzy geometric maps for behavior-based robots. Int. J. Intell. Syst. 17(3): 333-368 (2002) - [j21]Olga Pons, Juan C. Cubero
Uncertain fuzzy values still in the framework of first-order logi. Int. J. Intell. Syst. 17(9): 873-886 (2002) - 2001
- [j20]Luis A. Castillo, Antonio González Muñoz
Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm. Fuzzy Sets Syst. 120(2): 309-321 (2001) - [j19]Antonio González Muñoz
An experimental study about the search mechanism in the SLAVE learning algorithm: Hill-climbing methods versus genetic algorithms. Inf. Sci. 136(1-4): 159-174 (2001) - [j18]Luis A. Castillo, Juan Fernández-Olivares
Mixing expressiveness and efficiency in a manufacturing planner. J. Exp. Theor. Artif. Intell. 13(2): 141-162 (2001) - [j17]Antonio González Muñoz
Selection of relevant features in a fuzzy genetic learning algorithm. IEEE Trans. Syst. Man Cybern. Part B 31(3): 417-425 (2001) - 2000
- [j16]Luis A. Castillo, Juan Fernández-Olivares
Automatic generation of control sequences for manufacturing systems based on partial order planning techniques. Artif. Intell. Eng. 14(1): 15-30 (2000) - [j15]Eugenio Aguirre
Fuzzy behaviors for mobile robot navigation: design, coordination and fusion. Int. J. Approx. Reason. 25(3): 255-289 (2000) - [j14]Luis A. Castillo, Juan Fernández-Olivares, Antonio González Muñoz
A three-level knowledge-based system for the generation of live and safe Petri nets for manufacturing systems. J. Intell. Manuf. 11(6): 559-572 (2000) - [c5]Luis A. Castillo, Juan Fernández-Olivares, Antonio González Muñoz:
A hybrid hierarchical operator-based planning approach for the design of control programs. PuK 2000
1990 – 1999
- 1999
- [j13]Luis A. Castillo, Juan Fernández-Olivares, Antonio González Muñoz:
Un algoritmo de planificación no lineal para la generación automáticade programas industriales. Inteligencia Artif. 3(7): 40-53 (1999) - [j12]Antonio González Muñoz
Dealing with uncertainty and imprecision by means of fuzzy numbers. Int. J. Approx. Reason. 21(3): 233-256 (1999) - [j11]Antonio González Muñoz
A Study About the Inclusion of Linguistic Hedges in a Fuzzy Rule Learning Algorithm. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 7(3): 257-266 (1999) - [j10]Antonio González Muñoz
SLAVE: a genetic learning system based on an iterative approach. IEEE Trans. Fuzzy Syst. 7(2): 176-191 (1999) - [c4]Rafael Alcalá, Jorge Casillas, Antonio González:
Tuning fuzzy logic controllers for energy efficiency consumption in buildings. EUSFLAT-ESTYLF Joint Conf. 1999: 103-106 - 1998
- [j9]Antonio González Muñoz, Raúl Pérez:
Un algoritmo de aprendizaje de reglas basado en el método genético iterativo. Inteligencia Artif. 2(5): 44-49 (1998) - [j8]Luis A. Castillo, Antonio González
Distribution network optimization: Finding the most economic solution by using genetic algorithms. Eur. J. Oper. Res. 108(3): 527-537 (1998) - [j7]Antonio González
Completeness and consistency conditions for learning fuzzy rules. Fuzzy Sets Syst. 96(1): 37-51 (1998) - [j6]Antonio González Muñoz
A fuzzy theory refinement algorithm. Int. J. Approx. Reason. 19(3-4): 193-220 (1998) - [c3]Luis A. Castillo, Antonio González Muñoz
A Nonlinear Planner for Solving Sequential Control Problems in Manufacturing Systems. IBERAMIA 1998: 409-420 - 1995
- [j5]Antonio González Muñoz
A learning methodology in uncertain and imprecise environments. Int. J. Intell. Syst. 10(4): 357-371 (1995) - 1994
- [j4]Lourdes Campos, Antonio González Muñoz
Further contributions to the study of the average value for ranking fuzzy numbers. Int. J. Approx. Reason. 10(2): 135-153 (1994) - 1993
- [j3]Luis M. de Campos
A fuzzy inference model based on an uncertainty forward propagation approach. Int. J. Approx. Reason. 9(2): 139-164 (1993) - 1992
- [j2]Antonio González Muñoz
Dominance relations on fuzzy numbers. Inf. Sci. 64(1-2): 1-16 (1992) - 1991
- [j1]Antonio González Muñoz
A discrete method for studying indifference and order relations between fuzzy numbers. Inf. Sci. 56(1-3): 245-258 (1991) - [c2]Silvia Acid, Luis M. de Campos
Learning with CASTLE. ECSQARU 1991: 99-106 - 1990
- [c1]Antonio González Muñoz, María Amparo Vila Miranda:
An Interval-Based Approach for Working With Fuzzy Numbers. IPMU 1990: 193-202
Coauthor Index
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